The safe storage, careful documentation, and open sharing of data are important research objectives. They are foundational data management practices for maximizing the impact of your work and meeting the data requirements of national funding agencies.

In this introductory workshop, we will explore the principles of data management and focus on helpful technologies and best practices for responsible research practice. Topics covered include getting ready for data management, making a plan, saving data, describing data, data sharing, and ethical data use. Short hands-on exercises will offer practice with online tools, particularly the data management services supported by the UC Berkeley Library (i.e., DMP Tool, EZID, Merritt).

(This session covers many stages in the data life cycle, but excludes data collection and data analysis, which are topics reserved for other D-Lab workshops. For more details of this session’s content, visit the UC Berkeley Science Libraries Data Management Guide.)